Question

我正在尝试创建随机的颜色，并尝试根据个人边界框的不同颜色进行更改

COLORS = np.random.randint(0, 255, [1000, 3])
def visualize_detection_results(img_np, active_actors, prob_dict):
    score_th = 0.30
    action_th = 0.20

    # copy the original image first
    disp_img = np.copy(img_np)
    H, W, C = img_np.shape
    #for ii in range(len(active_actors)):
    for ii in range(len(active_actors)):
        cur_actor = active_actors[ii]
        actor_id = cur_actor['actor_id']
        cur_act_results = prob_dict[actor_id] if actor_id in prob_dict else []
        try:
            cur_box, cur_score, cur_class = cur_actor['all_boxes'][-16], cur_actor['all_scores'][0], 1
        except IndexError:
            continue

        if cur_score < score_th: 
            continue

        top, left, bottom, right = cur_box


        left = int(W * left)
        right = int(W * right)

        top = int(H * top)
        bottom = int(H * bottom)

        conf = cur_score
        #label = bbox['class_str']
        # label = 'Class_%i' % cur_class
        label = obj.OBJECT_STRINGS[cur_class]['name']
        message = '%s_%i: %% %.2f' % (label, actor_id,conf)
        action_message_list = ["%s:%.3f" % (actres[0][0:7], actres[1]) for actres in cur_act_results if actres[1]>action_th]
        # action_message = " ".join(action_message_list)

        color = COLORS[actor_id] 
        print("######",color) # prints[73   0 234]

        cv2.rectangle(disp_img, (left,top), (right,bottom), color, 3)

        font_size =  max(0.5,(right - left)/50.0/float(len(message)))
        cv2.rectangle(disp_img, (left, top-int(font_size*40)), (right,top), color, -1)
        cv2.putText(disp_img, message, (left, top-12), 0, font_size, (255,255,255)-color, 1)

        #action message writing
        cv2.rectangle(disp_img, (left, top), (right,top+10*len(action_message_list)), color, -1)
        for aa, action_message in enumerate(action_message_list):
            offset = aa*10
            cv2.putText(disp_img, action_message, (left, top+5+offset), 0, 0.5, (255,255,255)-color, 1)

    return disp_img

跟踪：

Traceback (most recent call last):
  File "detect_actions.py", line 310, in <module>
    main()
  File "detect_actions.py", line 177, in main
    out_img = visualize_detection_results(tracker.frame_history[-16], tracker.active_actors, prob_dict)
  File "detect_actions.py", line 240, in visualize_detection_results
    cv2.rectangle(disp_img, (left,top), (right,bottom), color, 3)
TypeError: Scalar value for argument 'color' is not numeric

在这种情况下，color数组不被接受为数字。我已经尝试过一些关于StackOverflow的方法，但是它不起作用。我有opencv version 3.3.0，感谢您的建议。谢谢我已经尝试过了：

color = np.array((np.asscalar(np.int16(color[0])),np.asscalar(np.int16(color[1])),np.asscalar(np.int16(color[2]))))

Answer 1

通过创建一个具有'asscalar'值的numpy数组，可以重新介绍您使用'asscalar'解决的问题。

要将颜色用作变量，可以使用以下两种解决方法之一：

# without numpy
tmp = [30,15,130]
color= (tmp[0],tmp[1],tmp[2])
cv2.rectangle(img,(1,1), (30,30),color,3)
# with numpy
tmp = np.array([30,15,130])
color= (np.asscalar(tmp[0]),np.asscalar(tmp[1]),np.asscalar(tmp[2]))
cv2.rectangle(img,(1,1), (30,30),color,3)
# without array
color= (30,15,130)
cv2.rectangle(img,(1,1), (30,30),color,3)

更具体地针对您的代码：您将颜色生成为2d数组，但是在使用asscalar时无需考虑这一点。试试这个：

COLORS = np.random.randint(0, 255, [10, 3])
actor_id = 2
color= (np.asscalar(COLORS[actor_id][0]),np.asscalar(COLORS[actor_id][1]),np.asscalar(COLORS[actor_id][2]))
cv2.rectangle(img,(1,1), (30,30),color,3)

Answer 2

以下行有效：

COLORS = (np.random.randint(0,255), np.random.randint(0,255), np.random.randint(0,255))

and then pass this to the cv2.rectangle as:

cv2.rectangle(org_img, (xmin,ymin), (xmax, ymax), COLORS, 3)

注意：OpenCV版本：4.1.1，Python 3.6

Answer 3

要生成随机的BGR值，可以使用np.random()，然后将其插入cv2.rectangle()

color = list(np.random.random(size=3) * 256)
cv2.rectangle(image, (x, y), (x + w, y + h), color, 4)

这是使用此输入图像的示例

我们找到轮廓并在每个数字周围绘制一个随机的彩色矩形

import cv2
import numpy as np

image = cv2.imread('1.png')
gray = 255 - cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)

cnts = cv2.findContours(gray, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE)
cnts = cnts[0] if len(cnts) == 2 else cnts[1]
for c in cnts:
    x,y,w,h = cv2.boundingRect(c)
    color = list(np.random.random(size=3) * 256)
    cv2.rectangle(image, (x, y), (x + w, y + h), color, 4)

cv2.imshow('image', image)
cv2.imwrite('image.png', image)
cv2.waitKey()

如何将颜色数组输入到cv2.rectangle（）？

3 个答案: